Abstract:
Operation optimization for the
computer numerical control (CNC) machines is
an important issue in the industry since it directly
influences the cost of production. So far, lots of
researchers have applied some optimization
techniques and made achievements in improving
the speeds of the CNC machines. The Tool Path
Machine (TPM) is a cutting machine which has
been used for cutting, drilling or some other
operations on a specific object. The current
TPMs are not that much flexible in handling
operations on different objects and on different
planes, as well as, cutting sequences are not
efficient enough for some tasks and situations for
the CNC machines. In this research study, we
also aim to optimize the Tool Path Machine
(TPM) with one of the optimization techniques -
Genetic Algorithm(GA) for enhancing the
manufacturing process time efficiency. By
changing the condition in system and the
coordinate of points, the machine will be able to
reconfigure the processes and find another way
to accomplish the task in the fastest possible
way. This makes the TPM more flexible to
accept new tasks just by giving the machine the
coordinates. To achieve this goal, a study of the
previous works which had been done in this area
of interest was undertaken and a comparison of
their techniques and methods was carried out to
better understand the optimization techniques
and the GA methods which have been used in
their study.
